Employing decomposable partially observable Markov decision processes to control gene regulatory networks.
Utku ErdogduFaruk PolatReda AlhajjPublished in: Artif. Intell. Medicine (2017)
Keyphrases
- gene regulatory networks
- partially observable markov decision processes
- reverse engineering
- finite state
- network model
- gene expression data
- reinforcement learning
- decision problems
- markov decision processes
- bayesian inference
- dynamic programming
- dynamical systems
- optimal policy
- biological data
- belief state
- optimal control
- dynamic bayesian networks
- data sets
- state space